The system MiND (Multipurpose integrated Neural Device) is a tool for the development of artificial neural network applications which integrates hardware and software components. It includes a PCI neuro-board with up to four SAND (Simple Applicable Neural Device) neuro-chips. The neuro-board accelerates feedforward networks, RadialBasis-Function networks, and Kohonen feature maps. There are several simple to use software layers for exploiting the neuro-board. At the bottom, there is the driver’s С interface. Secondly, a number of С++ network classes are built on the C-drivers. Thirdly, comfortable simulators with graphical interfaces base on the С++ classes. These stem from a pool of "predefined" simulators provided by the MiND system. Each simulator is constituted by a network definition written in the neural network description language CONNECT, and by an interface definition script. The interface definition is based on a С++ network class generated from the CONNECT definition, and on abstract graphical user interface classes. A user can develop own network or interface definitions. Also, the С++ network classes can be exported for integration into custom applications.
CITATION STYLE
Fischer, T., Eppler, W., Gemmeke, H., Kock, G., & Becher, T. (1997). The SAND neurochip and its embedding in the MiND system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1327, pp. 1235–1240). Springer Verlag. https://doi.org/10.1007/bfb0020320
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